Online Library

Recent years have seen increased interest in the online presence of extreme right groups. Although originally composed of dedicated websites, the online extreme right milieu now spans multiple networks, including popular social media platforms such as Twitter, Facebook and YouTube. Ideally therefore, any contemporary analysis of online extreme right activity requires the consideration of multiple data sources, rather than being restricted to a single platform. We investigate the potential for Twitter to act as one possible gateway to communities within the wider online network of the extreme right, given its facility for the dissemination of content. A strategy for representing heterogeneous network data with a single homogeneous network for the purpose of community detection is presented, where these inherently dynamic communities are tracked over time. We use this strategy to discover and analyse persistent English and German language extreme right communities.

Two notable features of the current conflict in Syria and Iraq are the number of foreign fighters from western countries fighting for Sunni militant organisations, and the use of the Internet and social media by some extremist groups to disseminate propaganda material. This article explores how the group which refers to itself as Islamic State and an affiliated British group, Rayat al Tawheed, deploy combinations of images and text which serve as bonding icons to rally supporters. The data consists of the English language edition of ISIS’s online magazine Dabiq and online materials produced by Rayat al Tawheed. The results suggest that ISIS and Rayat al Tawheed adopt similar but different iconisation strategies. While ISIS adopts a global strategy to present a unified world view utilising a range of ISIS values in its iconisation, Rayat al Tawheed foregrounds jihad using strategies specifically targeting young, English-speaking men of Islamic/Arab backgrounds.

As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label. Based on work on hate speech, cyberbullying, and online abuse we propose a typology that captures central similarities and differences between subtasks and we discuss its implications for data annotation and feature construction. We emphasize the practical actions that can be taken by researchers to best approach their abusive language detection subtask of interest.

The monograph focuses on public support for insurgency and terrorism and how it can be influenced. It is organised around the testing and refinement of conceptual models that seek to integrate much of what is known from relevant social science about public support.

This paper reviews available research on how the internet facilitates radicalisation and measures to prevent it. It briefly canvasses evidence on the extent to which the internet contributes to radicalisation broadly, and who is most susceptible to its influence, before delving further into the mechanisms underpinning the relationship between the internet and violent extremism.

High-level approaches to combating internet-facilitated radicalisation, including content removal, account suspensions, reducing anonymity, and counternarrative and education campaigns, are mapped against these mechanisms. This illustrates how these approaches can disrupt radicalisation and assists researchers, policymakers and practitioners to identify potential gaps in existing counterterrorism and countering violent extremism regimes. Research on the implementation and outcomes of these approaches is also summarised.

VOX-Pol Blog post.